Instructions to use ModelTC/roberta-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/roberta-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/roberta-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/roberta-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/roberta-base-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79ef5c30a9c656860d8620e46ef5bc282d66c333bb1cb976a7188067d5872cf2
- Size of remote file:
- 623 Bytes
- SHA256:
- 659db696246edcfdbfbee2fdd32cc1f234a9057f1a631472ad587cfe4eefd542
路
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